Third Annual Study on Exchanging Cyber Threat Intelligence: There Has to Be a Better Way

January 9, 2018

In a world of increasingly stealthy and sophisticated cyber criminals, it is difficult, costly and ineffective for companies to defend themselves against these threats alone. As revealed in The Third Annual Study on Exchanging Cyber Threat Intelligence: There Has to Be a Better Way, more companies are reaching out to their peers and other sources for threat intelligence data. Sponsored by Infoblox, the study provides evidence that participating in initiatives or programs for exchanging threat intelligence with peers, industry groups, IT vendors and government results in a stronger security posture.

Spotlight

Guardian Analytics

Prevent fraud, information loss, and ID theft. Hundreds of financial institutions are using our behavior-based fraud prevention solutions to proactively prevent online and mobile banking fraud, detect fraudulent ACH and wire payments, and detect unauthorized access to financial portals. Our customers proactively and efficiently prevent fraud, build trust with their customers and conform to the FFIEC minimum expectation for anomaly detection.

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Project Blackfin: Automated Breach Detection Using Intelligent Agents

whitePaper | December 4, 2019

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Awesome Cyber Security Facts - Infographic

whitePaper | November 15, 2019

Check out our "Awesome Cyber Security Facts" infographic below to see how crucial cyber security attack was for some businesses, what are our main weaknesses in terms of personal cyber security and even more.

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ZTE Cybersecurity White Paper 2021

whitePaper | October 29, 2021

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Spotlight

Guardian Analytics

Prevent fraud, information loss, and ID theft. Hundreds of financial institutions are using our behavior-based fraud prevention solutions to proactively prevent online and mobile banking fraud, detect fraudulent ACH and wire payments, and detect unauthorized access to financial portals. Our customers proactively and efficiently prevent fraud, build trust with their customers and conform to the FFIEC minimum expectation for anomaly detection.

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